Decision Infrastructure and Harvey
How Decision Infrastructure complements legal AI and reasoning tools in the legal technology stack.
Why this is not a replacement relationship
Harvey is a powerful legal AI platform for reasoning, research, analysis, and drafting. Decision Infrastructure does not replace it — it adds the runtime layer that governs whether the consequential actions taken from that reasoning remain admissible at the moment they execute.
They sit at different layers of the same stack: Harvey operates at the legal research and analysis layer; Decision Infrastructure operates at L6 — the governance layer between decisions and their consequences.
What Harvey Does Well
Harvey is a broad legal AI and reasoning platform. Within a legal team it can:
- generate legal research and analysis across large corpora
- draft documents, memos, and contract language
- answer complex legal questions with cited reasoning
- accelerate review, due diligence, and summarization
- support legal reasoning and workflows end to end
What Happens After Harvey?
Harvey produces legal reasoning, analysis, and drafts. Decision Infrastructure validates admissibility before the consequential actions taken from that reasoning become real.
Examples include:
- due diligence findings
- deal-risk recommendations
- draft contract language
- regulatory assessments
- litigation strategy analysis
The question shifts from “what does the analysis recommend?” to “may the resulting action execute now?” — and that question is resolved at L6. The same shift applies across due diligence, fundraising, M&A, regulatory review, and litigation analysis.
L5 · Decision Systems
Harvey
L6 · Decision Infrastructure
Governs whether the action may execute now.
L7 · Decision Intelligence
Learns from governed outcomes.
Harvey helps determine what legal professionals may do.
Decision Infrastructure governs whether those actions may execute now.
What Decision Systems Fix — and What They Don’t
L5 · Decision Systems
Decision Systems
What they fix
- Structured decisions
- Decision tracking
- Traceability
- Repeatability
What they don’t answer
- Should this decision exist?
- Is it valid under current constraints?
- Can it control execution?
- Will it produce evidence?
Core question: “What decision was made?”
L6 · Decision Infrastructure
Decision Infrastructure
What it adds
- Decisions validated before execution
- Policy enforced at runtime
- Human and AI accountability
- Evidence across the lifecycle
- Runtime admissibility
Core shift
From structuring decisions to governing whether decisions are valid, executable, and accountable.
Core question: “Is this decision valid, executable, and defensible?”
Most platforms optimize decisions. Very few govern them.
L5, L6, and L7: Different Roles
Harvey informs the decision; Decision Infrastructure governs the act. The distinction is not a feature gap — it is a different layer of the stack.
L5 produces and routes decisions.
L6 governs whether those decisions remain admissible at execution.
L7 learns from the outcomes of governed execution.
Why Trusted Decision Intelligence Requires L6
Decision Systems determine what should happen. Decision Infrastructure determines whether it may happen now.
Decision Intelligence learns from outcomes. If those outcomes were never validated at execution, the learning is built on actions that may never have been admissible.
Decision Intelligence is not the input to Decision Infrastructure. It is the output of governed execution.
Frequently Asked Questions
Is Decision Infrastructure a legal AI system?
No. It is not a legal AI or reasoning tool. Tools like Harvey generate legal reasoning, analysis, and drafts; Decision Infrastructure is the runtime governance layer (L6) that determines whether the consequential actions taken from that reasoning remain admissible at execution. They are complementary layers.
Does it replace legal reasoning?
No. Harvey produces the reasoning, analysis, and drafting; Decision Infrastructure governs whether the actions taken from that reasoning may execute now — admissible, authorized, compliant, and evidenced at the moment they occur. It governs the act, not the analysis.
What happens after AI-assisted legal analysis?
The analysis becomes the basis for a consequential action. Decision Infrastructure revalidates, at the commit boundary, whether that action is still admissible under current authority, policy, and constraints — and returns Allow, Hold, Deny, or Escalate with evidence before it executes.
Is it a Harvey replacement?
No. It does not generate legal reasoning, research, or drafts. It governs the admissibility of actions at the commit boundary — independent of, and portable across, the systems that produce those actions, including Harvey.
Can it run alongside Harvey?
Yes. Harvey produces the legal reasoning and drafts; Decision Infrastructure governs whether each resulting action is admissible at execution and captures independent evidence. The reasoning layer produces; L6 governs the act.
Why does Decision Intelligence depend on L6?
Decision Intelligence (L7) learns from outcomes. Without L6, it may learn from legal actions that were never admissible. With L6, it learns only from governed execution — making the resulting intelligence trustworthy.
Related Concepts
Vocabulary an analyst can quote
The canonical concepts referenced on this page, each with its one-sentence definition.
Where Decision Infrastructure Fits
The canonical L5 → L6 → L7 model — the full explanation of the stack.
Execution Governance
Ensures decisions remain admissible at the moment they execute.
Runtime Admissibility
Validation of authority, policy, and constraints immediately before execution.
Commit Boundary
The point where a decision becomes a consequential action.
Legal Decision Intelligence
How QuNetra governs consequential legal execution in regulated practice.
Decision Intelligence
The output of governed execution — learning from admissible outcomes.
How the Layers Work Together
Where each legal-technology layer sits relative to Decision Infrastructure. L6 governs whether consequential legal actions remain admissible, authorized, compliant, and evidenced at execution.
Legal AI, research, drafting, analysis
Document, knowledge & matter management
The consequential legal action commits
Reference Surfaces
Reference Surfaces
Understanding a category requires more than comparisons. These reference surfaces explain the core concepts, architecture, vocabulary, and placement of Decision Infrastructure within the enterprise stack.
Definition
What Is Decision Infrastructure?
The canonical introduction to the category. Defines Decision Infrastructure, execution governance, runtime admissibility, and governed execution.
- Category definition
- Execution governance
- Runtime admissibility
- Governed execution
Placement
Where Decision Infrastructure Fits
Where Decision Infrastructure sits between Decision Systems and Decision Intelligence in the enterprise stack.
- L4 Decisioning
- L5 Decision Systems
- L6 Decision Infrastructure
- L7 Decision Intelligence
Architecture
Decision Infrastructure Architecture
The architecture that enables execution governance — how Decision Infrastructure operates across enterprise systems.
- Commit boundaries
- Runtime validation
- Execution control
- Evidence generation
Vocabulary
Decision Infrastructure Glossary
The canonical vocabulary of the category — the lexicon analysts can quote precisely.
- Runtime admissibility
- Commit boundary
- Execution governance
- Governed execution
- Evidence at action
Related Comparisons
Related Comparisons
Use these comparisons to understand how Decision Infrastructure differs from adjacent categories, systems, and governance models.
Decision Infrastructure and iManage
iManage manages legal knowledge; Decision Infrastructure governs the consequential actions taken using that information at execution.
Decision Infrastructure and Intapp
Intapp coordinates legal intake, conflicts, and approvals; Decision Infrastructure governs whether execution remains admissible at the act.
Decision Infrastructure and Relativity
Relativity surfaces and reviews evidence; Decision Infrastructure governs the consequential actions taken because of it at execution.
Decision Infrastructure and Reveal
Reveal surfaces evidence with AI-assisted review; Decision Infrastructure governs the consequential execution based on it.
Decision Infrastructure vs Decision Systems
Workflow-and-approvals systems exit before execution; Decision Infrastructure governs the act itself.
Decision Infrastructure vs Decision Intelligence
The category vs its output cousin — what produces decisions vs what governs them at execution.